Ingest and Index Content Quiz

What you'll be asked

1. What is the primary purpose of the 'ingestion' phase in a retrieval and grounding pipeline?
2. When designing a chunking strategy for a document retrieval system, which factor is most important to consider?
3. What is the primary benefit of using a metadata filtering strategy alongside vector similarity search?
4. You notice that your retrieval pipeline is returning irrelevant snippets for long, complex documents. Which technique is most likely to improve retrieval performance?
5. In a RAG pipeline, why might you perform 'post-retrieval re-ranking' instead of relying solely on the similarity scores from your vector database?

Answers and explanations come after you submit.